علی جواد زیدی کی رحلت
افسوس ہے کہ ۶؍ سمبر ۲۰۰۴ء کو جناب سید علی جواد زیدی لکھنو میں رحلت فرماگئے، ان کی وفات علمی و ادبی دنیا کا سخت حادثہ ہے، ان سے راقم کا ذاتی تعلق تھا اور وہ دارالمصنفین کے بڑے قدرداں اور اس کے نہایت مخلص خیر خواہ تھے، مرحوم تقریباً نوے برس کے ہوگئے تھے، عرصے سے بیمار تھے، کئی بار قلبی دورہ بھی پڑ چکا تھا لیکن اس پیری اور بیماری میں بھی ان کے ولولے اور حوصلے جوانوں کی طرح بلند تھے، کتنے ارمان اور کیسے کیسے علمی و ادبی منصوبے ان کے ذہن میں پرورش پاتے رہتے تھے، جب بھی ملاقات ہوتی تو ان کا ذکر دلچسپی سے کرتے تھے، اب شمع علمی کے ایسے پروانے، تلاش، تحقیق اور جستجو کے دیوانے اور شعر و ادب کے متوالے، فضل و کمال کی تحصیل میں سرگرداں اور تحریر و تقریر میں کامل الفن کہاں ملیں گے جن کو اردو، فارسی، عربی، انگریزی اور ہندی پر عبور اور سنسکرت سے واقفیت ہو اور وہ ملک کی گنگا جمنی تہذیب کا دلکش نمونہ، قوم وطن کی محبت میں سرشار اور اپنی مذہبی و اخلاقی قدروں کے پاسباں ہوں، دراصل وہ سانچا ہی ٹوٹ گیا جس میں علی جواد جیسے ذہین و طباع، صائب الراے، معاملہ فہم، عظمت و شرافت کے حامل، مہر و محبت کے پتلے، حلم و مروت کے پیکر اور وضع داری رکھ رکھاؤ اور انکسار کے مجسمے ڈھلا کرتے تھے۔
پیدا کہاں ہیں ایسے پراگندہ طبع لوگ
افسوس تم کو میر سے صحبت نہیں رہی
علی جواد زیدی شاعر، ادیب، محقق، نقاد، خاکہ نگار، صحافی، عالم، دانشور، سیاست داں، مجاہد آزادی، فرض شناس اور ایمان دار افسر اور مختلف علوم و فنون میں دست گاہ رکھتے تھے، فلسفہ، تاریخ، اقتصادیات، سماجیات، لسانیات، ادبیات اور اسلامیات ہر میدان ان...
Mankind among the other creatures is a superior creation of Allah. Though he has been gifted and empowered with strength and logic, yet at times he becomes vulnerable or unfortified during his life span. To handle and manage such weak events and moments of life, Allah has laid down a law of necessity upon him. Since Islam is the religion of ease, comfort and compassion in all matters, therefore on the one hand it provides the regular course of system for the usual and routine matters, while on the other hand it promulgates the law of necessity for unusual and extra ordinary matters. The Western legal system also recognizes such concept of law, but as compared to Islamic concept of law of necessity it does not cover all the aspects of human vulnerability. This paper puts forth a discourse that how this exceptional segment of law can be applied and what is the difference between the Islamic concept of law of necessity and that of which the western legal system has.
Autonomic systems promise to inject self-managing capabilities in software systems. The major objectives of autonomic computing are to minimize human intervention and to enable a seamless self-adaptive behavior in software systems. To achieve self-managing behavior, various methods have been exploited in the past. Case- Based Reasoning (CBR) is a problem solving paradigm of artificial intelligence which exploits past experience, stored in the form of problem-solution pairs. Although CBR has been applied in the externalization architecture of self-healing systems at a limited scale, however it has not been fully exploited in autonomic systems in general. We have proposed and applied CBR to achieve autonomicity in software systems. The proposed approach has been described and evaluated on CBR implementation for externalization and internalization architectures of autonomic systems. The study highlights the effect of ten different similarity measures, the role of adaptation and the effect of changing nearest neighborhood cardinality for a CBR solution cycle in autonomic managers. The results show that the proposed CBR based autonomic systems exhibit 90 to 98% accuracy in diagnosing the problem and planning the solution. The learning process improves as more experience is added to the case-base. This results in a larger case-base. A larger case-base reduces the efficiency in terms of computational cost. To overcome this efficiency problem, this research work suggests to cluster the case-base, classify the reported problem in the appropriate cluster and devise the solution. This approach reduces the search complexity by confining a new case to a relevant cluster in the case-base. Clustering the case-base is a one-time process and does not need to be repeated regularly. The proposed approach has been outlined in the form of a new clustered CBR framework. The comparison of performance of the conventional CBR approach and clustered CBR approach has been presented in terms of their Accuracy, Recall and Precision (ARP) and computational efficiency. The proposed approach exhibits up to 90% accuracy. It indicates that the performance does not degrade using clustered CBR approach in terms of accuracy and at the same time, it improves the time complexity of the retrieval process. As the case-base grows in size, it is partitioned into different clusters in order to improve the retrieval efficiency. Deciding an appropriate number of clusters for a case-base is not a trivial problem. This research work proposes an approach to cluster the case-base into a random number of clusters. Two versions of the randomized approach have been presented. One of them guarantees success but its computational cost is a function of random variable. Other approach guarantees a deterministic computational cost but the success is not guaranteed. In order to ensure the retrieval time, a binary search based retrieval strategy has also been proposed. Randomized approach guarantees the same level of accuracy as in case of the clustered CBR approach and simplifies the clustering process by reducing its time complexity. The proposed approaches have been implemented on Rice University Bidding Sys- tem (RUBiS) and a simulation study of Autonomic Forest Fire Application (AFFA). Their theoretical and empirical results have been compared. The statistical analysis shows that the empirical and theoretical results are significantly similar.